Ceiling sensor network for soft authentication and person tracking using equilibrium line

PECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

Volumn , Issue , 2011, Pages 218-223

  Nonaka, Hidetoshi ^a   Tao, Shuai ^a   Toyama, Jun ^a   Kudo, Mineichi ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Ceiling sensor network; Electromagnetic interference; Equilibrium line; Person tracking; Soft authentication

Indexed keywords

AUTHENTICATION SYSTEMS; DESIGN POLICY; EQUILIBRIUM LINE; EQUILIBRIUM LINES; NETWORK SYSTEMS; PERSON TRACKING; PHYSICAL LOADS; POSITION PAPERS; SOFT AUTHENTICATION;

BIOMETRICS; CEILINGS; COMMUNICATION SYSTEMS; ELECTROMAGNETIC PULSE; EMBEDDED SOFTWARE; EMBEDDED SYSTEMS; SENSOR NETWORKS; SENSORS; VIDEO CAMERAS;

AUTHENTICATION;

EID: 80052443512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Hosokawa, T., Kudo, M., Nonaka, H., Toyama, J., 2009. Soft Authentication Using an Infrared Ceiling Sensor Network, Pattern Analysis and Applications, Vol. 12, No. 3, pp. 237-250.
2. Kanda, M., Yoshikawa, T., Nonaka, H., 2009. Family Communication Support Tool Using Time-Series Visualization of Individual Ambient Temperature, Proceedings of IEEE Industrial Symposium on Consumer Electronics, Vol. 13, pp. 984-987.
3. Yamada, M., Kamiya, K., Kudo, M., Nonaka, H., Toyama, J., 2009. Soft Authentication and Behavior Analysis Using a Chair with Sensors Attached: Hipprint Authentication, Pattern Analysis and Applications, Vol. 12, No. 3, pp. 251-260.
4. Koumoto, Y., Nonaka, H., Yanagida, T., 2009. A Proposal of Context-Aware Service Composition Method Based on Analytic Hierarchy Process, Studies in Computational Intelligence, Vol. 199, pp. 65-71, Springer, 2009.
5. Aviv, D. G., 1997. Abnormality Detection and Surveillance System, United States Patent 6028626.
6. Sawai, K., Yoshida, M., 2004. Algorithms for Detect of Elderly People Abnormal State for the Monitoring of Home, The Institute of Electronics, Information and Communication Engineers, Vol. J87-D-II, No. 11, pp. 2054-2061 (in Japanese).
7. Sogo, T., Ishiguro, H., Trivedi, M., 2004. Real-time Human Tracking System with Multiple Omnidirectional Vision Sensors, Systems and Computers in Japan, Vol. 25, pp. 79-90.
8. Zhao T., Nevatia, R., 2004. Tracking Multiple Humans in Complex Situations, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 26, pp. 1208-1221.
9. Hightower, J., Borriella, G., 2001. Location Systems for Ubiquitous Computing, IEEE Computer, Vol 34, pp. 57-66.
10. Khan, S., Javed, O., Rasheed, Z., Shah, M., 2001. Human Tracking in Multiple Cameras, Proceedings of the 8th International Conference on Computer Vision, pp. 331-336.
11. Yam, C., Nixon, M. S., Cater, J. N., 2003. Automated Person Recognition by Walking and Running via Model-based Approaches, Pattern Recognition, Vol. 37, pp. 1057-1072.
12. Murakita, T., Ikeda, T., Ishiguro, H., 2004. Human Tracking Using Floor Sensors Based on the Markov Chain Monte Carlo Method, Proceedings of International Conference on Pattern Recognition, pp. 917-920.
13. Ito, T., Oguri, K., Matsuo, T., 2004. A Location Information System Based on Real-time Probabilistic Position Inference, Proceedings of International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pp. 797-806.
14. Want, R., Hopper, A., Falcao, V., Gibbons, J., 1992. The Active Badge Location System, ACM Transactions on Information Systems, Vol. 10, pp. 91-102.
15. Okuda, S, Kaneda, S, Haga, H., 2005. Human Position/Height Detection Using Analog Type Pyroelectric Sensors, Proceedings of EUC Workshops 2005, pp. 306-315.
16. Schulz, D., Fox, D., Hightower, J., 2003. People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters, Proceedings of International Joint Conference on Artificial Intelligence.
17. Hao, Q. et al., 2006. Human Tracking with Wireless Distributed Pyroelectric Sensors, IEEE Sensors Journal, Vol. 6, No. 6, pp. 1683-1696.
18. Fang, J. S. et al., 2006. Real-time Human Identification Using a Pyroelectric Infrared Detector Array and Hidden Markov Models, Optics Express, Vol. 14, pp. 6643-6658.
19. Fang J. S. et al., 2007. A Pyroelectric Infrared Biometric System for Real-time Walker Recognition by Use of a Maximum Likelihood Principal Components Estimation (MLPCE) Method, Optics Express, Vol. 15, pp. 3271-3284.
20. Shankar, M. et al., 2006. Human-tracking Systems Using Pyroelectric Infrared Detectors, Optical Engineering, Vol. 45, No. 10, pp. 106401-106410.
21. Hosokawa, T., Kudo, M., 2005. Person Tracking with Infrared Sensors, Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science, LNCS-3684, pp. 682-688.
22. Bandyopadhyay, S., Coyle, E. J., 2004. Spatio-Temporal Sampling Rates and Energy Efficiency in Wireless Sensor Networks, Proceedings of IEEE INFOCOM.
23. Liu, X., et al., 2006. Optimal real-time sampling rate assignment for wireless sensor networks, ACM Transactions on Sensor Networks, Vol. 2, No. 2, pp. 263-295.
24. Jafari, A. M., Lang, W., 2009. Optimal Sample Rate for Wireless Sensor Actuator Network, IAENG International Journal of Computer Science, Vol. 26, No. 4.